mergelevels.syn: Merge levels of factors in a data frame

In synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

Merge levels of factors in a data frame

Description

merges levels of selected variables in a data frame either according to minimum numbers in a category or according to user-defined rules.

Usage

mergelevels.syn(data, vars = NULL, newlabel = FALSE, addNA = FALSE,
                    print.flag = FALSE, minsize = 10, merge.byhand =
                    FALSE, merge.details = NULL)

Arguments

data	An observed data set before synthesis.
vars	a vector of names or numbers for the variables for which categories are to be merged. defaults to all factors in data when sert to NULL
minsize	The minimum size that of combined categories when merge.byhand is FALSE
newlabel	When merge.byhand is FALSE when newlabel = TRUE causes the new factor levels to be labelled with a concatenation of the labels of all the categories that have contributed. newlabel = FALSE labels the new category "Other"
addNA	Causes the NA category to be included when determining which groups are below minsize and also to allow NA values, designated by "NA", to be combined with others in merge.details
print.flag	prints tables of variables before and after recoding.
merge.byhand	Uses the information in merge.byhand to create groupings, ignoring the parameters minsize and vars

.

merge.details

A named list of variable names with names giving the names of the variables that will have levels merged. Each item is a vector where the first item is the name for the new combined level and the other entries are the levels to be merged. If it exists already the levels with small counts will be added to it, otehrwise a new level will be formed.

Value

A data frame of the same size and structure as data with levels of selected variables merged.

See Also

sdc

Examples

test <- SD2011[1:20]
data.mlevs1 <- mergelevels.syn(test, vars = c(3,5,18:20),minsize = 20, addNA = TRUE, 
              print.flag = TRUE, newlabel = TRUE)

mlevs <- list(agegr = c("60+", "60-64"  , "65+"),socprof = c("NEW","UNEMPLOYED","FARMER"))
data.mlevs2 <-mergelevels.syn(test, merge.byhand = TRUE, merge.details = mlevs, 
           addNA=TRUE, print.flag = TRUE)  

synthpop documentation built on April 12, 2025, 1:36 a.m.